Movie Recommendation System Using Data Science and Machine Learning

Movie Recommendation System Using Data Science and Machine Learning

Fenil Patel, Hetvi Kansara , Maitri Patel , Harshil Pithadiya

Mentor: Professor Sejal Thakkar Indus University

Abstract :

A movie suggestion from a server-based algorithm has made discovering a good movie a lot easier these days. Film recommendations assist cinephiles and movie fans by allowing them to identify films that we need to watch without having to search extensively online. Recommending top-tier films to watch without having to sift through large databases, which takes a long time. consuming. As a solution to this conundrum, we propose a collaborative and participatory methodology. A content-based method that will employ a number of Python-based Machine Learning algorithms .Using massive datasets and generate a movie recommendation based on their preferences and past viewings .Keep an eye on history or a specific genre. This is unique in comparison to other recommendation algorithms based on a content-driven strategy